Document 15005465

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Matakuliah : M0564 /Pengantar Sistem Basis Data

Tahun : 2008

The Relational Model

Pertemuan 03

Learning Outcomes

Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu :

• Mahasiswa dapat menerangkan konsep dan terminologi pemodelan relasional. (C2)

3

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Acknowledgments

These slides have been adapted from Thomas Connolly and

Carolyn Begg

Outline Materi

• Terminology

• Integrity Constraints

• Views

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5

Relational Model Terminology

• A relation is a table with columns and rows.

– Only applies to logical structure of the database, not the physical structure.

• Attribute is a named column of a relation.

• Domain is the set of allowable values for one or more attributes.

• Tuple is a row of a relation.

• Degree is the number of attributes in a relation.

• Cardinality is the number of tuples in a relation.

• Relational Database is a collection of normalized relations with distinct relation names.

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Instances of Branch and Staff (part)

Relations

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Examples of Attribute Domains

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Alternative Terminology for Relational

Model

Mathematical Definition of Relation

• Consider two sets, D

1

5}.

& D

2

, where D

1

= {2, 4} and D

2

= {1, 3,

• Cartesian product, D

1 of D

2

.

 D

2

, is set of all ordered pairs, where first element is member of D

1 and second element is member

D

1

 D

2

= {(2, 1), (2, 3), (2, 5), (4, 1), (4, 3), (4, 5)}

• Alternative way is to find all combinations of elements with first from D

1 and second from D

2

.

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Mathematical Definition of Relation

• Any subset of Cartesian product is a relation; e.g.

R = {(2, 1), (4, 1)}

• May specify which pairs are in relation using some condition for selection; e.g.

– second element is 1:

R = {( x , y ) | x  D

1

, y  D

2

, and y = 1}

– first element is always twice the second:

S = {( x , y ) | x  D

1

, y  D

2

, and x = 2 y }

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Mathematical Definition of Relation

• Consider three sets D

1

D

1

 D

2

 D

3

; e.g.

, D

2

, D

3 with Cartesian Product

D

1

= {1, 3} D

2

= {2, 4} D

3

= {5, 6}

D

1

 D

2

 D

3

= {(1,2,5), (1,2,6), (1,4,5), (1,4,6), (3,2,5), (3,2,6),

(3,4,5), (3,4,6)}

• Any subset of these ordered triples is a relation.

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Mathematical Definition of Relation

• The Cartesian product of n sets ( D

1

, D

2

, . . ., D n

) is:

D

1

 D

2

 . . .

 D n

= {( d

1

, d

2

, . . . , d n

) | d

1

 D

1

, d

2

 D

2

, . . . , d n

 D n

} usually written as: n

X D i i = 1

• Any set of n -tuples from this Cartesian product is a relation on the n sets.

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Database Relations

• Relation schema

– Named relation defined by a set of attribute and domain name pairs.

• Relational database schema

– Set of relation schemas, each with a distinct name.

Properties of Relations

• Relation name is distinct from all other relation names in relational schema.

• Each cell of relation contains exactly one atomic

(single) value.

• Each attribute has a distinct name.

• Values of an attribute are all from the same domain.

• Each tuple is distinct; there are no duplicate tuples.

• Order of attributes has no significance.

• Order of tuples has no significance, theoretically.

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Relational Keys

• Superkey

– An attribute, or a set of attributes, that uniquely identifies a tuple within a relation.

• Candidate Key

– Superkey (K) such that no proper subset is a superkey within the relation.

– In each tuple of R, values of K uniquely identify that tuple

(uniqueness).

– No proper subset of K has the uniqueness property (irreducibility).

• Primary Key

– Candidate key selected to identify tuples uniquely within relation.

• Alternate Keys

– Candidate keys that are not selected to be primary key.

• Foreign Key

– Attribute, or set of attributes, within one relation that matches candidate key of some (possibly same) relation.

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Relational Integrity

• Null

– Represents value for an attribute that is currently unknown or not applicable for tuple.

– Deals with incomplete or exceptional data.

Represents the absence of a value and is not the same as zero or spaces, which are values.

• Entity Integrity

– In a base relation, no attribute of a primary key can be null.

• Referential Integrity

– If foreign key exists in a relation, either foreign key value must match a candidate key value of some tuple in its home relation or foreign key value must be wholly null.

• Enterprise Constraints

– Additional rules specified by users or database administrators.

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Views

• Base Relation

– Named relation corresponding to an entity in conceptual schema, whose tuples are physically stored in database.

• View

– Dynamic result of one or more relational operations operating on base relations to produce another relation.

• A virtual relation that does not necessarily actually exist in the database but is produced upon request, at time of request.

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Views

• Contents of a view are defined as a query on one or more base relations.

• Views are dynamic, meaning that changes made to base relations that affect view attributes are immediately reflected in the view.

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Purpose of Views

• Provides powerful and flexible security mechanism by hiding parts of database from certain users.

• Permits users to access data in a customized way, so that same data can be seen by different users in different ways, at same time.

• Can simplify complex operations on base relations.

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Updating Views

• All updates to a base relation should be immediately reflected in all views that reference that base relation.

• If view is updated, underlying base relation should reflect change.

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Updating Views

• There are restrictions on types of modifications that can be made through views:

Updates are allowed if query involves a single base relation and contains a candidate key of base relation.

- Updates are not allowed involving multiple base relations.

- Updates are not allowed involving aggregation or grouping operations.

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Updating Views

• Classes of views are defined as:

– theoretically not updateable;

– theoretically updateable;

– partially updateable.

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Dilanjutkan ke pert. 04

SQL : Data Definiton

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